Laurence Perreault-Levasseur

Associate Professor, Université de Montréal

Joined

March 2023

Names

Laurence Perreault-Levasseur (Preferred)

Emails

****@astro.umontreal.ca (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Associate Professor

Université de Montréal (umontreal.ca)

2025 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

The 2nd Workshop on Foundation Models for Science: Real-World Impact and Science-First Design
Wuyang Chen, Yongji Wang, N. Benjamin Erichson, Laurence Perreault-Levasseur, Bo Li, Damian Borth, Swarat Chaudhuri
- ICLR 2026 Workshop Proposals
- Readers: Everyone
Recursive Structure Discovery as an Inductive Bias for Symbolic Regression
Wassim Tenachi, Rodrigo Ibata, Alejandro M. Illescas Giménez, Yashar Hezaveh, Laurence Perreault-Levasseur, Pierre-Luc Bacon
- Submitted to ICLR 2026
- Readers: Everyone
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems
Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur
- The Astrophysical Journal
- Readers: Everyone
Solving Bayesian inverse problems with diffusion priors and off-policy RL
Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Alexandre Adam, Yashar Hezaveh, Laurence Perreault-Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin
- ICLR 2025 DeLTa Workshop Poster
- Readers: Everyone
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos, Sammy Nasser Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault-Levasseur, Yashar Hezaveh
- ICLR 2025 Poster
- Readers: Everyone
Neural Ratio Estimators Meet Distributional Shift and Mode Misspecification: A Cautionary Tale from Strong Gravitational Lensing
Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Assessing the Viability of Generative Modeling in Simulated Astronomical Observations
Patrick Janulewicz, Laurence Perreault-Levasseur, Tracy Webb
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics
Antoine Bourdin, Ronan Legin, Matthew Ho, Alexandre Adam, Yashar Hezaveh, Laurence Perreault-Levasseur
- ICML2024-AI4Science Poster
- Readers: Everyone
Improving Gradient-Guided Nested Sampling for Posterior Inference
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault-Levasseur
- ICML 2024 Poster
- Readers: Everyone
Score-Based Likelihood Characterization for Inverse Problems in the Presence of Non-Gaussian Noise
Ronan Legin, Alexandre Adam, Yashar Hezaveh, Laurence Perreault-Levasseur
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone

View all 13 publications

Co-Authors

View all 37 co-authors